We convert the model’s 14 class predictions into an ID probability using the highest class-prediction (Max. Softmax [1]} and Max. Prediction [2]}), the highest logit (Max. Logit [2]}, Max. Energy [4]}).
We select the ID classification threshold at 95 % ID sensitivity on the validation data set (containing ID and OOD data).
